Real time algorithm for efficient HCI employing features obtained from MYO sensor

Ehab H. El-Shazly, Moataz M. Abdelwahab, Atsushi Shimada, Rin Ichiro Taniguchi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

5 被引用数 (Scopus)

抄録

This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space where the projection of similar training/testing pairs become highly correlated. The testing sequences is matched to the training set that gives maximum correlation in the new space obtained by CCA. Two new data sets for common HCI applications (gaming and air writing) were collected at LIMU lab, Kyushu university and used to verify the efficiency of the proposed algorithm. Low processing complexity, efficient storage requirement, high accuracy and fast decision are factors that promotes our algorithm for real time implementation.

本文言語英語
ホスト出版物のタイトル2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509009169
DOI
出版ステータス出版済み - 7月 2 2016
イベント59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, アラブ首長国連邦
継続期間: 10月 16 201610月 19 2016

出版物シリーズ

名前Midwest Symposium on Circuits and Systems
0
ISSN(印刷版)1548-3746

その他

その他59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
国/地域アラブ首長国連邦
CityAbu Dhabi
Period10/16/1610/19/16

!!!All Science Journal Classification (ASJC) codes

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学

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